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CLC number: TN919.81

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Received: 2003-12-10

Revision Accepted: 2004-04-02

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Journal of Zhejiang University SCIENCE A 2005 Vol.6 No.1 P.43-48

http://doi.org/10.1631/jzus.2005.A0043


A high fidelity VQ coding algorithm with region adaptive subbanding


Author(s):  Zhong-qi Yang, Zhi-can Bai, Dong-mei Li, Chang-sheng Yang

Affiliation(s):  . Department of Computer, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   csyang@hzcnc.com

Key Words:  Image compression, Subband, Vector quantization (VQ)


YANG Zhong-qi, BAI Zhi-can, LI Dong-mei, YANG Chang-sheng. A high fidelity VQ coding algorithm with region adaptive subbanding[J]. Journal of Zhejiang University Science A, 2005, 6(1): 43-48.

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A1 - BAI Zhi-can
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DOI - 10.1631/jzus.2005.A0043


Abstract: 
Image subbands can be obtained by using filterbank. Traditional compression method uses direct entropy coding for each subband. After studying the energy distribution in image subbands, we proposed a vector quantization (VQ) coding algorithm to image subband. In the algorithm, vector quantizers were adaptively designed for high-frequency bands in an image. In particular, the edges of the image were examined and fewer bits were assigned to high-energy regions. The experimental result showed that the algorithm had higher SNR and higher compression ratio than possible by traditional subband coding, JPEG and JPEG 2000.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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